A handful of second language (L2) studies have explored "bidirectional pragmatic transfer": "forward pragmatic transfer"--the influence of learners' first language (L1) on their L2--and "reverse pragmatic transfer"--the impact of learners' L2 on their L1. This explanatory sequential mixed-methods study investigated…

Background/purpose: This study investigated the impact of the Test Survey for Students (TSFS) software, a game-based learning intervention (GBL), on the mathematical achievement and attitudes of Qatari fourth-grade students. Materials/methods: Utilizing a mixed-methods approach guided by the Theory of Planned Behavior (TPB) and the TPACK…

Playing games occupies an essential place throughout life, particularly in childhood. With technological advances, urbanization, and the reduction of playgrounds, children's engagement with digital games has steadily increased. This shift highlights the importance of raising parental awareness about children's digital game preferences and gaming…

In the evolving techno-educational landscape, it is crucial to reimagine transformative pedagogies based on techno-teacher collaboration to revolutionize teaching effectiveness and efficiency. Although the cutting-edge generative AI tool, Chat GPT, is speculated to be a revolutionary CALL (computer-assisted language learning) tool for teaching…

Coaching high school basketball is a tough profession to navigate. Most coaches have a plan for student-athletes to follow to be successful for the upcoming season, with specific, tailor-made strategies. However, adding an external factor such as the COVID-19 pandemic can create challenges, particularly when there is no contingency plan for…

Background/purpose: This exploratory study integrates quantitative and qualitative approaches to investigate various facets of cyberlanguage usage, including its types, reasons for use, frequency in daily communication, student attitudes, and its effects on formal writing proficiency. Materials/methods: Quantitative data was collected through a…

Integrating artificial intelligence, particularly large language models (LLMs), into medical education represents a significant new step in how medical knowledge is accessed, processed, and evaluated. The objective of this study was to conduct a comprehensive analysis comparing the performance of advanced LLM chatbots in different topics of…

The effects of a computer-based reading intervention on whole word reading in three post-secondary students with intellectual and/or developmental disability were evaluated using a multiple baseline across tasks (i.e., word sets) design. Words were selected from each student's elective undergraduate social science course materials. During this…

Scientific modeling is a vital educational practice that helps students apply scientific knowledge to real-world phenomena. Despite advances in AI, challenges in accurately assessing such models persist, primarily due to the complexity of cognitive constructs and data imbalances in educational settings. This study addresses these challenges by…

Flipped learning has been recognized as a promising pedagogical model for methodological progress in educational environments. Studies have shown the effectiveness of flipped learning when used with appropriate educational technologies and learning strategies. On the other hand, comprehensive guidance is required to combine this pedagogical model…

This paper reports on a study aiming at examining whether online argumentation enhance the teacher candidates' scientific habits of mind (SHOM). The study was carried out as a pre-experimental design including pre and post-test. Scientific Habits of Mind scale, interviews and written arguments were used as data collection tools. Google Classroom,…

Online discussion based on the community of inquiry (CoI) framework has received considerable popularity due to its potential benefits for enhancing problem-solving skills and achieving deep understanding in the long term. However, it is challenging to make learners actively conduct a discussion using typical environments (e.g., asynchronous…

The assessment of student responses to learning-strategy prompts, such as self-explanation, summarization, and paraphrasing, is essential for evaluating cognitive engagement and comprehension. However, manual scoring is resource-intensive, limiting its scalability in educational settings. This study investigates the use of Large Language Models…

Designing balanced and optimized degree plans is a fundamental challenge in higher education, directly impacting student success, graduation rates, and institutional efficiency. This paper presents an innovative framework that addresses this challenge through a two-stage optimization approach. The first stage focuses on selecting a set of courses…

The assessment of student responses to learning-strategy prompts, such as self-explanation, summarization, and paraphrasing, is essential for evaluating cognitive engagement and comprehension. However, manual scoring is resource-intensive, limiting its scalability in educational settings. This study investigates the use of Large Language Models…